SAP BDC Data Architect

SAP BDC Data Architect We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We’re builders across more than 20 industries, touching 80% of global commerce. The work is challenging – but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Position Summary We are seeking an exceptional SAP Business Data Cloud (BDC) Data Architect to shape how organizations turn data into a competitive advantage. In this role, you will define data strategies that enable enterprises to modernize their data landscapes and unlock AI‑driven transformation, working at the intersection of applications, data, and AI to design the unified and trusted data foundations that make advanced analytics and agentic AI possible. Key Responsibilities Lead customer data strategy and modernization roadmaps with SAP BDC as the foundation – defining the path from fragmented legacy systems to unified, AI‑ready data platforms. Analyze customer data landscapes and outline clear, actionable data strategy and transition plans for customers moving through SAP RISE and GROW transformations. Serve as the strategic advisor to executives, business leaders, and IT stakeholders on critical data and architecture decisions. Design unified, scalable data architectures using SAP BDC and partner technologies including Databricks and Snowflake that serve as the enterprise data backbone. Define target‑state data architectures across SAP and non‑SAP applications that enable Business AI capabilities. Drive adoption of data products and intelligent applications aligned to each customer’s business objectives – ensuring data investments deliver tangible value. Lead end‑to‑end delivery across all phases, ensuring quality execution, on‑time delivery, and strong business outcomes. Collaborate with global teams to deliver seamless, scalable implementations. Champion SAP’s data and AI strategy with customers through innovative, pragmatic solutions that deliver measurable results. Must‑Have Qualifications 10+ years of enterprise data architecture and data modeling experience with strong expertise in developing data and AI strategies. Master’s or Bachelor’s in Information Systems, Computer Science, Business Management, or a related field. Exceptional soft skills for simplifying complex concepts for executives and business leaders. Expert‑level understanding of SAP BDC to lead discovery workshops with business and IT leaders, identifying compelling use cases and building actionable BDC adoption plans. Deep knowledge of SAP core data structures and proven ability to integrate SAP and non‑SAP data into coherent foundations that support advanced analytics and AI use cases. Hands‑on experience designing data models and building scalable data pipelines that support data products and modern cloud data architectures. Expertise in master data governance, data lineage, and data quality management. Nice‑to‑Have Skills Experience with partner data platforms such as Databricks, Snowflake, Google BigQuery, and others. Understanding of knowledge graph concepts and how they support agentic AI use cases. Exposure to SAP RISE, SAP GROW, and enterprise cloud transformation programs. Technical fluency in SQL, Python, or modern modeling frameworks. Experience leading or mentoring cross‑functional and multi‑region teams. Compensation Range: 151,900 – 340,900 USD (annualized). The actual amount to be offered will be within this range, depending on education, skills, experience, scope of the role, location, etc., as determined through the selection process. We are committed to equal employment opportunity and provide accessibility accommodations to applicants with physical or mental disabilities. If you require assistance navigating our website or completing your application, please contact Recruiting Operations: Careers@sap.com. Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability. #J-18808-Ljbffr